Offshore wind farm repowering optimization

被引:63
|
作者
Hou, Peng [1 ]
Enevoldsen, Peter [2 ]
Hu, Weihao [1 ]
Chen, Cong [3 ]
Chen, Zhe [1 ]
机构
[1] Aalborg Univ, Dept Energy Technol, Pontoppidanstr 111, DK-9220 Aalborg, Denmark
[2] BTECH Aarhus Univ, Ctr Energy Technol, Aarhus, Denmark
[3] Publ Hlth England, Natl Canc Registrat & Anal Serv, London, England
关键词
Offshore wind power; Levelised cost of energy (LCoE); Repowering; PARTICLE SWARM OPTIMIZATION; LAYOUT OPTIMIZATION; ONSHORE; LIFE; END; OIL;
D O I
10.1016/j.apenergy.2017.09.064
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Decommissioning is usually the last stage of the offshore wind farm life cycle. Due to the challenges of the decommissioning process, such as the impact on the marine environment, severe weather conditions, vessel limitations and lack of operational experience, the decommissioning strategy should be planned to avoid complications, which ultimately can cause radical changes to the levelized cost of energy (LCoE) and the wind farm owner's business case. Instead of dismantling, repowering may be a sustainable alternative solution to extend the lifetime of a wind farm. In this paper, the research is focused on optimization of offshore wind farm repowering, which is one option for the wind farm owner at end of life for the offshore wind farm. The LCoE is used as the evaluation index to identify whether it is economical to invest in such a way. In an optimized repowering strategy, different types of wind turbines are selected to replace the original wind turbines to reconstruct the wind farm, which is demonstrated to be better than the refurbishment approach which replaces the old wind turbines with the same type. The simulations performed in this research reveal that the reconstructed wind farm, which consists of multiple types of wind turbine, has a smaller LCoE (10.43%) than the refurbishment approach, which shows the superiority of the proposed method. This research contributes an optimization tool to the wind industry, which consequently drives down the cost of energy produced by offshore wind turbines.
引用
收藏
页码:834 / 844
页数:11
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